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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 12392
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    Explanations

    phrases related to social media activity, specifically the action of tweeting

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tweeted"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    士
    -0.65
    escal
    -0.63
    urion
    -0.62
    profit
    -0.62
    pen
    -0.62
     immersion
    -0.62
    akura
    -0.61
    rans
    -0.60
    acles
    -0.60
    ajor
    -0.60
    POSITIVE LOGITS
     condolences
    0.93
     "@
    0.92
     congratulations
    0.83
     encour
    0.79
    realDonaldTrump
    0.79
     angrily
    0.77
     furiously
    0.75
     sarcast
    0.72
     messages
    0.71
     hasht
    0.70
    Activations Density 0.062%

    No Known Activations